LLM orchestration without the infrastructure
Building multi-model workflows means managing four API integrations, handling rate limits, normalizing response formats, and building synthesis logic. Synero handles all of it behind a single endpoint.
/api/querySynero orchestrates model selection, parallel execution, streaming, and synthesis — you send one request and get back structured multi-model output.
Capabilities
Parallel Execution
Four models execute simultaneously with independent streaming. No sequential bottlenecks — total latency equals the slowest model, not the sum of all models.
Automatic Synthesis
A dedicated synthesis step reads all four advisor responses and produces a unified answer. No prompt engineering required — the synthesis logic is built into the platform.
Model Routing
Assign specific models to specific advisor roles. Route GPT to The Architect, Claude to The Philosopher, Gemini to The Explorer, and Grok to The Maverick — or any combination.
Normalized Responses
Every model returns data in the same structured format regardless of the underlying provider. No more parsing four different API response schemas.
Error Isolation
If one model fails or times out, the other three still return results. The synthesis adapts to work with however many responses are available.
Preset Configurations
Save model + advisor configurations as presets. Switch between research, analysis, creative, and technical configurations with a single parameter.
Code Example
// Use presets to switch between configurations
const response = await fetch('https://synero.ai/api/query', {
method: 'POST',
headers: {
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json',
},
body: JSON.stringify({
prompt: 'Evaluate the risk of migrating from REST to GraphQL',
preset: 'technical-architecture', // pre-configured model + role mapping
}),
});
// Response includes:
// - 4 advisor responses (streamed via SSE)
// - Synthesis combining all perspectives
// - Metadata: models used, token counts, latency per advisorFrequently asked questions
Why not build my own orchestration layer?
You can — but it means maintaining four provider integrations, handling rate limits and retries for each, normalizing response formats, building synthesis logic, and managing credential rotation. Synero handles all of this, letting you focus on your application logic.
Can I use only specific models?
Yes. You can configure 1-4 advisors per query. Use a single advisor for simple queries and the full council for important decisions. Each advisor can be powered by any of the 15 available models.
Does the orchestration layer add latency?
Minimal. Synero adds less than 100ms of overhead. Since all models execute in parallel, total latency is determined by the slowest model response, not cumulative. The synthesis step adds 2-5 seconds depending on response length.
How do I handle errors gracefully?
The SSE stream includes status events for each advisor. If a model times out or returns an error, you'll receive an error event for that advisor while the others continue streaming. The synthesis automatically adapts to the available responses.
Skip the infrastructure work
Four models, parallel execution, automatic synthesis. One API endpoint.
Read the Docs